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首页> 外文期刊>Biological Cybernetics >Minimal Hodgkin–Huxley type models for different classes of cortical and thalamic neurons
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Minimal Hodgkin–Huxley type models for different classes of cortical and thalamic neurons

机译：不同类别的皮层和丘脑神经元的最小霍奇金-赫克斯利模型

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摘要

We review here the development of Hodgkin–Huxley (HH) type models of cerebral cortex and thalamic neurons for network simulations. The intrinsic electrophysiological properties of cortical neurons were analyzed from several preparations, and we selected the four most prominent electrophysiological classes of neurons. These four classes are “fast spiking” “regular spiking” “intrinsically bursting” and “low-threshold spike” cells. For each class, we fit “minimal” HH type models to experimental data. The models contain the minimal set of voltage-dependent currents to account for the data. To obtain models as generic as possible, we used data from different preparations in vivo and in vitro, such as rat somatosensory cortex and thalamus, guinea-pig visual and frontal cortex, ferret visual cortex, cat visual cortex and cat association cortex. For two cell classes, we used automatic fitting procedures applied to several cells, which revealed substantial cell-to-cell variability within each class. The selection of such cellular models constitutes a necessary step towards building network simulations of the thalamocortical system with realistic cellular dynamical properties.
机译：我们在这里回顾了大脑皮层和丘脑神经元的霍奇金-赫克斯利（HH）型模型的发展，以进行网络仿真。从几种准备工作中分析了皮质神经元的内在电生理特性，我们选择了神经元的四个最突出的电生理类别。这四个类别是“快速尖峰”，“常规尖峰”，“固有爆发”和“低阈值尖峰”单元。对于每个类别，我们将“最小” HH类型模型拟合到实验数据。这些模型包含最小的电压相关电流集，以说明数据。为了获得尽可能通用的模型，我们使用了来自体内和体外不同制剂的数据，例如大鼠体感皮层和丘脑，豚鼠视觉和额叶皮质，雪貂视觉皮层，猫视觉皮层和猫联想皮层。对于两个单元格类别，我们使用了适用于多个单元格的自动拟合程序，该程序显示了每个类别内单元格之间的实质性差异。这些细胞模型的选择构成了建立具有现实细胞动力学特性的丘脑皮层系统网络模拟的必要步骤。

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